
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)0} D{)}{)}{9)0} D{)}{)}{9)1} D{)}{)}{9)0} D{)}{)}{9)0}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & 0.08 \; (0.17)  & 0.09 \; (0.18)  & 0.25 \; (0.17)     & 0.10 \; (0.17)  & 0.11 \; (0.18)  \\
Year                     & 0.19 \; (0.17)  & 0.30 \; (0.17)  & 0.34 \; (0.16)^{*} & 0.19 \; (0.16)  & 0.20 \; (0.17)  \\
Government Participation & -0.51 \; (0.34) & -0.31 \; (0.34) & -0.51 \; (0.31)    & -0.34 \; (0.32) & -0.43 \; (0.33) \\
\midrule
AIC                      & 111.96          & 111.98          & 107.63             & 110.11          & 111.61          \\
BIC                      & 121.29          & 121.32          & 116.97             & 119.44          & 120.95          \\
Log Likelihood           & -49.98          & -49.99          & -47.82             & -49.05          & -49.81          \\
Num. manifestos          & 35              & 35              & 35                 & 35              & 35              \\
Num. groups: countries   & 4               & 4               & 4                  & 4               & 4               \\
Var: Country (Intercept) & 0.00            & 0.07            & 0.08               & 0.31            & 0.18            \\
Var: Residual            & 0.98            & 0.95            & 0.82               & 0.84            & 0.91            \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all manifestos in German, scored with DDR for the dimension Vice.}
\label{tab:app_reg_de_ddr_vice}
\end{center}
\end{table}
